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The purpose of this paper is to verify the moderating effects of school category based on the self-determination theory (SDT) in cloud-based virtual learning environment (VLE) acceptance.

Two phases of national surveys were conducted using a random sampling technique. The research model was tested empirically using 608 samples of primary and secondary school teachers.

The full model supports significant effects of autonomy, competence, and relatedness on trust, knowledge sharing attitude and behavioral intention except the autonomy-attitude and relatedness-behavioral intention relationships. In primary school, 61, 24.1, 52.1, and 41.1 percent of variances whereas, in secondary school, 57.4, 31.5, 48.6, and 37.5 percent of variances in instructional effectiveness, behavioral intention, knowledge sharing attitude, and trust in VLE website were explained. There are significant moderating effects of category of school in all causal relationships except the autonomy-knowledge sharing attitude relationship.

There are several useful theoretical and practical implications for scholars and practitioners including Ministry of Education, FrogAsia, etc.

The findings may enhance education quality for societal change.

Unlike most studies which focused on TAM, UTAUT, etc., this study investigated the effects of SDT on attitude in sharing knowledge, trust in website and instructional effectiveness. Instead of studying gender differences, this study examined the school category differences.

In the literature of industrial management, the focus is normally given on examining the factors that contribute to product innovation acceptance. The advocates of “pro-innovation bias” assume that consumers are open to new products and are willing to accept an innovative product. However, there is a high failure rate of technological innovations and most of the technological innovations were rejected due to users' resistance. Since the inception of innovation resistance theory (IRT), the number of studies that used IRT has gained much attention from scholars. However, the findings from these studies from various contexts are inconsistent, lack universality, and a clear understanding of technological innovation barriers. The study aims to determine whether the IRT theory is indeed valid and whether IRT is culturally invariant from the Eastern and Western cultures.

A meta-analysis based on a random-effects model and studies drawn from 24 countries and/or regions with a consolidated sample size of 10,463 was conducted. Cultural invariance was identified based on subgroup analysis. Moderator analysis was performed by applying the weighted linear regression.

The results reveal that tradition is the strongest barrier followed by the value, risk, image and usage barrier. Interestingly, there is a cultural invariance in IRT from the Eastern and Western cultures. Besides, there are significant moderating effects due to the temporal factor.

The study has contributed useful theoretical and managerial implications in advancing the product innovation literature.

Tourism review (TR) celebrates its 75th anniversary in 2020. The purpose of this paper is to proffer a holistic overview of TR based on bibliometric analyses of the publications from 2001 to 2019.

The research method entails performance analyses and science mapping analyses on TR. The performance analyses engage a sequence of bibliometric statistics, including citation analysis, most cited authors and papers, most influential and productive authors, countries and institutions to name a few. The authors also used visualization of similarities viewer to perform the science mapping analysis of TR based on co-citations of cited authors, bibliographic couplings of authors and countries and co-occurrences of authors’ keywords from 2001 to 2019 and from 2014 to 2019. To examine the thematic evolution using SciMAT, a de-duplicating process was conducted in which 1,485 keywords were refined to 128 word groups before thematic evolution map and strategic diagrams for the three sub-periods were generated.

The thematic evolution map revealed ten thematic areas. The key themes of each of these thematic areas are destination studies, tourism destination and hospitality tourism; destination studies, competitiveness and innovations, co-operations and experience tourism; business studies, sports tourism, tourism destination and satisfaction; quality studies, networks, social studies and co-operation; business model and sports tourism; tourism management and tourism destination; political studies, perception and satisfaction; political studies, sustainability studies, social studies and health tourism; behavior, perception and satisfaction; and cultural tourism and tourism destination.

The study has managed to unveil the key trends of publications, authors, affiliations, nations and authors’ keywords. The findings are useful for potential authors to have a quick snapshot of what is expected from and what is happening in TR.

The study serves as a historical record of TR’s publications. It presents comprehensive bibliometric analyses of the publications in TR and identifying the key research trends.

Tourism Review（TR）将于2020年庆祝其成立75周年。本论文研究的目的是基于2001年至2019年出版的相关文献数量加以分析, 并对TR进行全面概述。

研究方法需要对TR进行性能分析和科学映射分析。绩效分析涉及一系列的文献数量统计, 包括引用分析：引用最多的作者和论文, 最具影响力和生产力的作者, 国家和机构。作者们还使用VOSviewer对引用作者的共同引用, 作者与国家/地区的书目耦合以及2001年至2019年以及2014年至2019年共同出现的作者关键词来进行TR的科学制图分析, 并使用SciMAT, 进行了重复数据删除过程, 将1485个关键字简化为128个词组, 进行随后三个阶段主题性的进化图与策略图的制作。

从2001年到2019年, TR的出版物和其引用率出现了巨大的飞跃, 因为它引起了全世界各项研究人员, 机构和国家的极大兴趣。被引用最多的文献和最有影响力的作者多来自发达国家的机构, 包括美国（US）, 英国（UK）以及其他欧洲和大洋洲国家。但是, 亚洲和非洲大陆的国家也正在加入潮流, 并开始在TR中树立影响力。

该研究设法揭示了出版物, 作者, 隶属关系, 国家和作者的关键词的主要趋势。这些发现对于有潜能的作者快速了解TR预期和正在发生的事情很有帮助。

这项研究可作为TR出版物的历史记录。它将提供TR出版物的综合文献计量分析, 并确定了关键的研究趋势。

旅游期刊, 文献计量分析, 科学制图, 书目耦合, 共引, 共现, VOSviewer, SciMAT

研究论文

Tourism Review (TR) celebra su 75 aniversario en 2020. El objetivo de esta investigación es ofrecer una visión global de TR basada en análisis bibliométricos de las publicaciones de 2001 a 2019.

el método de investigación implica análisis de rendimiento y análisis de mapeo científico en TR. Los análisis de desempeño involucran una secuencia de estadísticas bibliométricas, que incluyen análisis de citas, autores y artículos más citados, autores más influyentes y productivos, países e instituciones, por nombrar algunos. Los autores también utilizaron el VOSviewer para realizar el análisis de mapeo científico de TR basado en citas compartidas de autores citados, acoplamientos bibliográficos de autores y países y co-ocurrencias de las palabras clave de los autores desde 2001 hasta 2019 y desde 2014 hasta 2019. Para examinar el evolución temática utilizando SciMAT, se llevó a cabo un proceso de desduplicación en el que se refinaron 1485 palabras clave a 128 grupos de palabras antes de que se generaran mapas de evolución temáticos y diagramas estratégicos para los tres subperíodos.

hay un salto gigantesco en las publicaciones, así como las citas de TR de 2001 a 2019, ya que ha ganado mucho interés por parte de varios investigadores, instituciones y países de todo el mundo. La mayoría de los autores más citados e influyentes provienen de instituciones de países desarrollados, incluidos los Estados Unidos (EE. UU.), El Reino Unido (Reino Unido) y otras naciones europeas y de Oceanía. Sin embargo, países de los continentes asiático y africano se están uniendo al carro y comenzaron a establecer su influencia en TR.

el estudio ha logrado revelar las tendencias clave de publicaciones, autores, afiliaciones, naciones y palabras clave de los autores. Los hallazgos son útiles para que los autores potenciales tengan una instantánea rápida de lo que se espera de lo que está sucediendo en TR.

el estudio sirve como un registro histórico de las publicaciones de TR. Presenta análisis bibliométricos exhaustivos de las publicaciones en TR e identifica las tendencias de investigación clave.

Cloud computing technology is advancing and expanding at an explosive rate. These advancements have further extended the capabilities of the virtual learning environment (VLE) to provide accessibility anywhere, anytime where educational resources can be saved, modified, retrieved and shared on the cloud. The purpose of this paper is to examine the predictors of instructional effectiveness of cloud computing VLE by extending the Self Determination and Channel Expansion Theory with external constructs of VLE interactivity, content design, school support, trust in website, knowledge sharing attitude and demographic variables.

Random sampling data were collected in two waves of nation-wide survey and analyzed with artificial neural network approach.

SDT, CET, content design, interactivity, trust in website, school support and demographics significantly predict instructional effectiveness.

The study has provided a new paradigm shift from investigating the behavioral intention and continuance intention to the effectiveness of an information system. It advocates that quality of research may be improved by adhering to the basic research methodology starting from rigorous instrument development and validation to future research direction.

The research provides implications to Ministry of Education, the VLE content and service providers, scholars and practitioners.

The findings of the study may further improve the quality of living of the society when the instructional effectiveness of the cloud-based VLE is further enhanced.

Existing grid computing VLE studies have focussed on the acceptance of students and teachers and not its instructional effectiveness. Unlike existing studies that examined extrinsic motivational factors (e.g. TAM, UTAUT), this study uses intrinsic motivational factors (e.g. relatedness, competence and autonomy) as well as perceived media richness. Malaysia is the first nation to implement the VLE at a national scale and the findings from this study will provide a new insight on the determinants of instructional effectiveness of the VLE system.

This study examines the antecedents of continuance intention to use mobile payment in the midst of a pandemic. In general, the cognitive-affective-conative (CAC) framework was used as the theoretical base. More specifically, the dynamic interrelationships between the cognitive and affective constructs were derived from a penta-dimensional perspective.

An online survey yielded 307 responses from youths who were utilizing mobile payment through an online survey which were then analyzed using structural equation modeling (SEM) and artificial neural network (ANN).

Both positive and negative affective constructs significantly influence continuance intention and can also serve as mediators to the cognitive variables. Interestingly, price savings and referent network size were revealed to be sources of technostress. In addition, despite not having a significant direct influence, price savings should not be overlooked given its indirect significance on continuance intention.

Based on the CAC framework, the constructs were conceptualized according to the respective dimensions to develop this study's research model. It was then used to examine their influences on the continuance intention to use mobile payment in the midst of a pandemic. Moreover, a few novel hypotheses were proposed, and the findings serve to increase the understanding of this subject matter.

This research investigates the mechanism by which big data capability enables superior supply chain resilience (SCRe) by empirically examining the links among big data analytics (BDA), supply chain flexibility (SCF) and SCRe, with innovation-focused complementary assets (CA-I) as the moderator.

Extensive surveys were conducted to gather 308 responses from Malaysian manufacturing firms in order to explore this framework. The structural and measurement models were examined and evaluated by using partial least squares structural equation modelling.

The findings revealed that BDA is linked to flexibilities in a manufacturing firm’s value chain, which in turn is related to the firm’s SCRe. However, the association between BDA and SCRe is surprisingly non-significant. Additionally, CA-I was discovered to moderate the connections between all of the constructs, except for the relationship between BDA and SCRe. Such findings imply that with the aim of enhancing resilience, a company should concentrate on SCF; and that BDA capability is a prerequisite for increasing these flexibilities.

This research extrapolates the findings of previous studies regarding BDA’s influence on SCRe by investigating the indirect effect of SCF, as well as the moderating influence of CA-I. This research is one of the first few studies to empirically examine the relationships between BDA, SCF and SCRe across manufacturing firms, with CA-I acting as a moderator.

This paper purports to analyze the relationship between knowledge management (KM) and technological innovation in the Malaysian manufacturing sector. Furthermore, the interrelationships between the KM dimensions will also be investigated.

Survey data from 162 manufacturing firms were obtained. Multiple linear regression and neural network analysis were performed in this study to examine the relationships between KM and technological innovation; as well as the interrelationships between KM practices themselves.

This research study provides empirical evidence and confirms the results of past researchers that KM practices (i.e. knowledge sharing, knowledge application and knowledge storage) are positively and significantly related to technological innovation (i.e. product and process innovation). Moreover, it is also discovered that the interrelationships between the KM dimensions are positive and significant.

This research implies that when firms understand the significance of KM dimensions, there is a great possibility that the firm will succeed in harvesting the full value of technological innovation. Meanwhile, the result may also serve as a guide to the manufacturing managers to understand the importance of KM in their managerial actions, so that the level of technological innovation in their firms can be greatly enhanced.

Extensive research has not been done in the past to examine the relationship between the KM and technological innovation. Meanwhile, the investigation on the interrelationships between the KM dimensions has also been scarce. Hence, such a research is to be called for. This paper provides the manufacturing practitioners with useful guidelines on the appropriate KM practices to be implemented to ensure the improvement in technological innovation.

The purpose of this paper is to uncover the effects of perceived transaction convenience (PTC) and perceived transaction speed (PTS) on unified theory of acceptance and use of technology (UTAUT) in the context of m-payment.

A predictive analysis approach was used to examine the PTC and PTS using a two-stage partial least square (PLS) and neural network (NN) analyses.

The findings reveal that only effort expectancy (EE) and facilitating conditions (FC) were discovered to significantly influence BI. More importantly, PTC was found to have positive significant relationship with EE and performance expectancy (PE). Moreover, PTS also supported the positive relationship with BI and EE.

The findings of the study provided further insights to mobile payment service providers, online banking industry players, and all decision makers and stakeholders involved.

Despite of many attempts devoted to understand m-payment adoption, the effects of PTC and PTS on m-payment are not well understood.

Organizations are social entities comprising multiple people that are goal-directed and have coordinated activities that are also linked to the external environment. As information technology improves, the organizational performance is also improved and it results in positive changes and development in the organizations. Near field communication (NFC) is one of such technologies that can be implemented and utilized in an organization. The purpose of this paper is to investigate the important variables impacting the adoption of NFC in organizations and propose an applicable model for it.

In this paper, to have a successful NFC implementation in organizations and analyze main factors impacting the NFC technology adoption in organizations, a technology acceptance model-based approach is used.

The findings show that the main variables impacting NFC adoption are ease of use, potential risk, usefulness and cost. The obtained results indicate that the model has adequate and sufficient reliability, convergent validity and discriminant validity.

In this paper, the factors impacting the NFC adoption in organizations are pointed out, and the proposed model is tested on samples gathered from Azerbaijan railway employees and for statistical analysis of questionnaires, the SMART-PLS 2.0 software package is used.